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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/7047
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| Title: | IVVI: Intelligent Vehicle based on Visual Information |
| Author(s): | Armingol, José M.
Escalera, Arturo de la
Hilario, Cristina
Collado, Juan Manuel
Carrasco, Juan Pablo
Flores, Marco Javier
Pastor, José M.
Rodríguez, Francisco J. |
| Publisher: | Elsevier |
| Issued date: | 31-Dec-2007 |
| Citation: | Robotics and Autonomous Systems, 2007, vol. 55, n. 12, p. 904-916 |
| URI: | http://hdl.handle.net/10016/7047 |
| ISSN: | 0921-8890 |
| DOI: | 10.1016/j.robot.2007.09.004 |
| Abstract: | Human errors are the cause of most traffic accidents, with drivers’ inattention and wrong driving decisions being the two main sources. These errors can be reduced, but not completely eliminated. That is why Advanced Driver Assistance Systems (ADAS) can reduce the number, danger and severity of traffic accidents. Several ADAS, which nowadays are being researched for Intelligent vehicles, are based on Artificial Intelligence and Robotics technologies. In this article a research platform for the implementation of systems based on computer vision is presented, and different visual perception modules useful for some ADAS such as Line Keeping System, Adaptive Cruise Control, Pedestrian Protector, or Speed Supervisor, are described. |
| Sponsor: | This work was supported in part by the Spanish government under CICYT grant TRA2004-07441-C03-01. |
| Review: | PeerReviewed |
| Publisher version: | http://dx.doi.org/10.1016/j.robot.2007.09.004 |
| Keywords: | Driver assistance systems
Intelligent vehicles
Intelligent Transportation Systems
Computer vision |
| Rights: | © Elsevier B.V. |
| Appears in Collections: | DISA - LSI - Artículos de Revistas
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